Networking (Aruba) Solution Architect - AI/ML

Hewlett Packard Enterprise; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Hewlett Packard Enterprise in Bengaluru is seeking an experienced Network Analytics Engineer to optimize network support with AI-driven insights. You will work hands-on with HPE networking products like Aruba and Juniper, analyzing data to improve operational outcomes and customer experiences.

The role emphasizes applying machine learning, statistical modeling, and automation to reduce manual effort and accelerate resolutions, using Salesforce, Power BI, and Tableau for visibility and reporting.

Qualifications

• Experience in network engineering and analytics.
• Proficiency with data analysis and visualization tools.
• Familiarity with AI/ML techniques in support operations.

Responsibilities

• Hands-on work with HPE Networking products including Juniper and Aruba.
• Analyze structured and unstructured data to generate actionable insights.
• Apply ML, AI, statistical modeling, and automation to improve support operations.
• Develop analytics solutions translating requirements into code and workflows.
• Document procedures, test, debug, and monitor performance metrics.
• Leverage AI to streamline workflows and predict issues across networks.

Skills

Network engineering

AI and ML

Education

Bachelor's or Master's degree in CS/Engineering/IT/Networking

Tools

Salesforce

Power BI

Tableau

Aruba certifications

Juniper certifications

Job description

This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.

Who We Are

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description

At HPE Networking, theDigital Experience & Automation (DEA)team is reimagining how people experience support and services in a digital‑first world—setting new standards for the future of networking.We enable customers, partners, and employees through AI‑driven tools and modern platforms, transforming support into a unified, efficient, and simple experience that drives measurable value. Our mission is grounded ininnovation with purpose: applying automation, AI, and data‑driven insights to simplify journeys, reduce friction, and create meaningful outcomes at every touchpoint.

DEA’s charter is to discover, evaluate, and scale solutions thatembed intelligent technology into every interaction—delivering proactive and predictive experiences that shorten resolution times and accelerate task completion. We partner closely with technology providers, engineering, and business teams to deliver seamless omnichannel experiences and enable business transformation through data engineering, process optimization, and automation. Our work is fuelled by a passion for self‑service, intelligent automation, and building digital experiences that are intuitive, scalable, and human‑centric.

What You’ll Do

• Works hands‑on with HPE Networking products including Juniper, Aruba, and related technologies.
• Supports network operations by analyzing and structuring both structured and unstructured data to generate actionable insights.
• Applies machine learning, statistical modeling, AI, and automation techniques to improve support operations, data quality, operational accuracy, and customer outcomes.
• Develops descriptive, diagnostic, predictive, and prescriptive analytics solutions, translating technical requirements into working code, algorithms, and automated workflows.
• Documents installation and maintenance procedures, performs testing and debugging, and defines and monitors performance metrics.
• Demonstrates strong knowledge of HPE support processes, including case management, RMA handling, incident management, SLA compliance, escalation management, and case closure. Leverages this expertise to identify opportunities where AI and automation can reduce manual effort, accelerate response times, proactively identify issues, streamline support workflows, and enhance customer experience.
• Apply machine learning, AI, statistical modeling, and analytical techniques to network performance data, support case trends, and operational metrics across HPE Networking solutions, including Aruba, Juniper, and related technologies. Predict issues, prioritize cases, detect anomalies, and generate actionable insights that improve support efficiency, operational effectiveness, and customer outcomes while developing practical, scalable solutions aligned with business and operational needs.
• Leverage AI tools and automation to streamline support workflows, accelerate issue diagnosis, and improve decision‑making across support operations. Use Salesforce to manage and analyze support processes, and Power BI and Tableau to visualize performance metrics, identify trends, and communicate actionable insights to engineering teams, leadership, and other stakeholders.

What You Need To Bring

• Bachelor's or master's degree in computer science, engineering, information technology, networking, or a closely related discipline.
• Typically 6 - 10 years of experience in network engineering, support operations, AI and machine learning, or a related technical field. Possesses one or more Aruba and/or Juniper certifications, with deep expertise in routing, switching, security, wireless, and SD‑WAN solutions, including Juniper MX, PTX, QFX, and ACX platforms, and Aruba ClearPass, Aruba Central, Silver